Evidence map›Paper›PMID 36117618›Full record

ArticleFrontiers in neuroscience2022

Dynamic spectral signatures of mirror movements in the sensorimotor functional connectivity network of patients with Kallmann syndrome.

Federica Di Nardo, Renzo Manara, Antonietta Canna, Francesca Trojsi, Gianluca Velletrani, Antonio Agostino Sinisi, Mario Cirillo, Gioacchino Tedeschi, Fabrizio Esposito

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 53% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Federica Di NardoDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy.
Renzo ManaraDepartment of Neuroscience, University of Padova, Padova, Italy.
Antonietta CannaDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy.
Francesca TrojsiDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy.
Gianluca VelletraniDepartment of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy.
Antonio Agostino SinisiDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy.
Mario CirilloDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy.
Gioacchino TedeschiDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy.
Fabrizio EspositoDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli," Naples, Italy.
University of Campania "Luigi Vanvitelli" · ITUniversity of Padua · ITUniversity of Salerno · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Kallmann syndrome (KS), the peculiar phenomenon of bimanual synkinesis or mirror movement (MM) has been associated with a spectral shift, from lower to higher frequencies, of the resting-state fMRI signal of the large-scale sensorimotor brain network (SMN). To possibly determine whether a similar frequency specificity exists across different functional connectivity SMN states, and to capture spontaneous transitions between them, we investigated the dynamic spectral changes of the SMN functional connectivity in KS patients with and without MM symptom. Brain MRI data were acquired at 3 Tesla in 39 KS patients (32 without MM, KSMM-, seven with MM, KSMM+) and 26 age- and sex-matched healthy control (HC) individuals. The imaging protocol included 20-min rs-fMRI scans enabling detailed spectro-temporal analyses of large-scale functional connectivity brain networks. Group independent component analysis was used to extract the SMN. A sliding window approach was used to extract the dynamic spectral power of the SMN functional connectivity within the canonical physiological frequency range of slow rs-fMRI signal fluctuations (0.01-0.25 Hz). K-means clustering was used to determine (and count) the most recurrent dynamic states of the SMN and detect the number of transitions between them. Two most recurrent states were identified, for which the spectral power peaked at a relatively lower (state 1) and higher (state 2) frequency. Compared to KS patients without MM and HC subjects, the SMN of KS patients with MM displayed significantly larger spectral power changes in the slow 3 canonical sub-band (0.073-0.198 Hz) and significantly fewer transitions between state 1 (less recurrent) and state 2 (more recurrent). These findings demonstrate that the presence of MM in KS patients is associated with reduced spontaneous transitions of the SMN between dynamic functional connectivity states and a higher recurrence and an increased spectral power change of the high-frequency state. These results provide novel information about the large-scale brain functional dynamics that could help to understand the pathologic mechanisms of bimanual synkinesis in KS syndrome and, potentially, other neurological disorders where MM may also occur.

Indexed as

connectivity statesdynamic functional connectivityKallmann syndromeK-meansmirror movementssensorimotor network

Identifiers

PMID36117618
PMCPMC9477102
OpenAlexW4293168303

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.